Evidence map›Paper›PMID 38263192›Full record

ArticleScientific reports2024

Exploring quantitative measures in metacognition of emotion.

Hsing-Hao Lee, Gabrielle Kaili-May Liu, Yi-Chuan Chen, Su-Ling Yeh

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hsing-Hao LeeDepartment of Psychology, New York University, New York, NY, USA.
Gabrielle Kaili-May LiuDepartment of Psychology, National Taiwan University, Taipei, Taiwan.
Yi-Chuan ChenDepartment of Medicine, MacKay Medical College, Taipei, Taiwan.
Su-Ling YehDepartment of Psychology, National Taiwan University, Taipei, Taiwan. suling@ntu.edu.tw.

Funding

Mackay Medical College MMC-RD-110-1B-P024Taiwan's Ministry of Science and Technology MOST 107-2410-H-002-129-MY3
6 · The paper itself

Abstract

Metacognition of emotion (meta-emotion) refers to the ability to evaluate and identify one's emotional feelings. No previous study has defined and measured this construct through objective and quantitative procedures. We established a reliable method to measure meta-emotion. With a two-interval forced-choice procedure, participants selected which of two pictures elicited stronger positive emotion; via the Law of Comparative Judgment, their responses were used to compute individual psychological distances for the emotional responses triggered by the pictures. Then, participants were asked to judge whether a pre-exposed picture induced a stronger positive emotion than the median of that elicited by the whole picture set, followed by a confidence rating. By utilizing each individual's psychological distance, the correctness of a participant's emotional experience was quantified by d', and meta-emotion was quantified using meta-d', M-ratio, and M-diff as indices of metacognitive sensitivity and efficiency based on Signal-Detection Theory. Test-retest reliabilities, validated by Spearman correlation, were observed in meta-d', M-ratio, and marginally with M-diff, suggesting the stability of meta-emotion in the current design. This study unveils a validated procedure to quantify meta-emotion, extendable for assessing metacognition of other subjective feelings. Nevertheless, caution is warranted in interpretation, as the measured processes may be influenced by non-metacognitive factors.

Indexed as

MetacognitionEmotionsHumansJudgmentPsychological Distance

Identifiers

PMID38263192
PMCPMC10805884

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.